Marktechpost

MARCH 3, 2025

Encoder models like BERT and RoBERTa have long been cornerstones of natural language processing (NLP), powering tasks such as text classification, retrieval, and toxicity detection. Data Scarcity: Pre-training on small datasets (e.g., Wikipedia + BookCorpus) restricts knowledge diversity.

BERT 75

BERT Data Scarcity Natural Language Processing Large Language Models 75

Marktechpost

AUGUST 3, 2023

Also, the limited number of available music-language datasets poses a challenge. With the scarcity of datasets, training a music captioning model successfully doesn’t remain easy. Large language models (LLMs) could be a potential solution for music caption generation. They opted for the powerful GPT-3.5

Data Scarcity 52

Data Scarcity Large Language Models BERT Natural Language Processing 52

Unite.AI

JANUARY 22, 2024

However, generating synthetic data for NLP is non-trivial, demanding high linguistic knowledge, creativity, and diversity. Different methods, such as rule-based and data-driven approaches, have been proposed to generate synthetic data. To address this, techniques include using domain-specific languages (e.g.,

NLP 173

NLP BERT Data Scarcity Large Language Models 173

deepsense.ai

FEBRUARY 6, 2024

For instance, the analogy of the masked token prediction task used to train BERT is known as masked image modeling in computer vision. In NLP, this refers to finding the most optimal text to feed the Large Language Model for enhanced performance. Source: [link]. The first concept is prompt engineering.

Prompt Engineering 105

Prompt Engineering Prompt Engineer NLP Computer Vision 105

deepsense.ai

FEBRUARY 12, 2024

For instance, the analogy of the masked token prediction task used to train BERT is known as masked image modeling in computer vision. In NLP, this refers to finding the most optimal text to feed the Large Language Model for enhanced performance. Source: [link]. The first concept is prompt engineering.

Prompt Engineering 52

Prompt Engineering Prompt Engineer NLP Computer Vision 52

Marktechpost

SEPTEMBER 15, 2024

Large Language Models (LLMs) have revolutionized natural language processing in recent years. The pre-train and fine-tune paradigm, exemplified by models like ELMo and BERT, has evolved into prompt-based reasoning used by the GPT family.

BERT 120

BERT LLM Large Language Models Categorization 120

Viso.ai

DECEMBER 15, 2023

At the forefront of this transformation are Large Language Models (LLMs). These intelligent models have transcended their traditional linguistic boundaries to influence music generation. This approach enables high-quality, controllable melody generation with minimal lyric-melody paired data.

Computer Vision 52

Computer Vision Deep Learning AI AI 52